Publication result detail

Using HIL Simulation and Genetic Algorithms for Controller Tuning

ZUTH, D.

Original Title

Using HIL Simulation and Genetic Algorithms for Controller Tuning

English Title

Using HIL Simulation and Genetic Algorithms for Controller Tuning

Type

Scopus Article

Original Abstract

This paper will deal with the possibilities of using the HIL (Hardware-in-the-loop) simulation in Matlab for setting the controller by genetic algorithms. The main advantage of using HIL is a possibility of endless repetition of regulation without straining the real system. This paper will compare several algorithms for an automatic adjustment of parameters of the real controller. The system is numerically simulated in MATLAB by Runge-Kutta method (RK4), as a controller was used ARM R microcontroller Cortex R M4. In addition to send an information about the system, it is also possible to send controller setup parameters from Matlab and repeat the simulation with di erent parameters. Matlab also evaluates the quality of regulation and uses algorithms to set the best parameters of the controller. The aim of this paper is to automatically set the parameters of a real controller without the user interaction.

English abstract

This paper will deal with the possibilities of using the HIL (Hardware-in-the-loop) simulation in Matlab for setting the controller by genetic algorithms. The main advantage of using HIL is a possibility of endless repetition of regulation without straining the real system. This paper will compare several algorithms for an automatic adjustment of parameters of the real controller. The system is numerically simulated in MATLAB by Runge-Kutta method (RK4), as a controller was used ARM R microcontroller Cortex R M4. In addition to send an information about the system, it is also possible to send controller setup parameters from Matlab and repeat the simulation with di erent parameters. Matlab also evaluates the quality of regulation and uses algorithms to set the best parameters of the controller. The aim of this paper is to automatically set the parameters of a real controller without the user interaction.

Keywords

HIL, Hardware-in-the-loop, Microcontroller, PID Controller, PID Tunning, Genetic Algorithm, Mat- lab, Simulation.

Key words in English

HIL, Hardware-in-the-loop, Microcontroller, PID Controller, PID Tunning, Genetic Algorithm, Mat- lab, Simulation.

Authors

ZUTH, D.

RIV year

2017

Released

08.06.2016

Location

Brno

ISBN

1803-3814

Periodical

Mendel Journal series

Volume

2016

Number

22

State

Czech Republic

Pages from

25

Pages to

30

Pages count

6

BibTex

@article{BUT127813,
  author="Daniel {Zuth}",
  title="Using HIL Simulation and Genetic Algorithms for Controller Tuning",
  journal="Mendel Journal series",
  year="2016",
  volume="2016",
  number="22",
  pages="25--30",
  issn="1803-3814"
}